simple-latin-bert-uncased safetensors download | Hugging Bay

Q: What is this model?

LuisAVasquez/simple-latin-bert-uncased is an open-weights language model for masked-language modeling published by LuisAVasquez, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for fill mask: LuisAVasquez/simple-latin-bert-uncased · transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 843.1 MB. The recommended download, model.safetensors, is 421.1 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 843.1 MB. The original release is at https://huggingface.co/LuisAVasquez/simple-latin-bert-uncased.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-luisavasquez-simple-latin-bert-uncased/safety on Hugging Bay.

Q: Will LuisAVasquez/simple-latin-bert-uncased run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

LuisAVasquez

simple-latin-bert-uncased

LuisAVasquez/simple-latin-bert-uncased

masked-language modelingLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for fill mask: LuisAVasquez/simple-latin-bert-uncased · transformers

View as JSON →

6 hosted of 17 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	421.1 MB	`d261125e…a3b5194e` `d261125efee3a499024c01d9402529f19b694ae4e941cc2a3136266ea3b5194e`	Hosted	Télécharger
`pytorch_model.bin`	421.1 MB	`a71a84fd…67911b7f` `a71a84fddcc2e35b50bc9782b6be93060c2c24d3a82affdbde1a67b367911b7f`	Upstream only	File metadata
Tokenizer & config
`config.json`	628 bytes	`ebd1da82…9ffa2d18` `ebd1da82a25a847add373a8166344ab2bf05169a648363fbb7ec80ec9ffa2d18`	Hosted	Télécharger
`generation_config.json`	90 bytes	`88e12197…47cd5cd0` `88e1219700f3caab181e2dda748de31beacffc7ecd0e3ab08d425d8147cd5cd0`	Hosted	Télécharger
`tokenizer.json`	579.9 KB	`b6518cf8…825abec8` `b6518cf8574502a3fc8c62c47621ee7eb46b9d0ca54e1f99998981fb825abec8`	Hosted	Télécharger
`tokenizer_config.json`	342 bytes	`c3fcc814…763e526c` `c3fcc8144d538db689632ef6f0d273f19b511bdcb0d752411a29f387763e526c`	Hosted	Télécharger
`training_notebooks/01_Downloading_and_preprocessing_corpora.ipynb`	56.5 KB	—	Upstream only	File metadata
`training_notebooks/02_more_preprocessing_and_training_WP_tokenizer.ipynb`	5.06 KB	—	Upstream only	File metadata
`training_notebooks/04_train_mlm_script.py`	1.94 KB	—	Upstream only	File metadata
`training_notebooks/05_loading_and_saving_pipeline.ipynb`	1.06 KB	—	Upstream only	File metadata
`training_notebooks/05_testing_latin_bert.ipynb`	4.48 KB	—	Upstream only	File metadata
`training_notebooks/06_testing_latin_bert.ipynb`	6.58 KB	—	Upstream only	File metadata
`vocab.txt`	188.4 KB	—	Upstream only	File metadata
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	5.27 KB	—	Upstream only	File metadata
`training_notebooks/README.md`	386 bytes	—	Upstream only	File metadata

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simple-latin-bert-uncased

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